Thinking Machines Lab

Research, Audio Expertise

San Francisco

H1B sponsorship available$350k-$475kDetected 78 days ago

PythonExpressMachine LearningDeep LearningTensorFlowPyTorchData EngineeringStatisticsA/B TestingLogisticsResearchCommunicationCollaboration

About the role

For us, there is no separate multimodal work.
We're looking for researchers to advance the frontier of audio capabilities.
You'll explore how audio models enable more natural and efficient communication/collaboration, preserving more information and capturing user intent.

Own research projects on audio training, low-latency inference and conversational responsiveness.
Design and train large-scale models that natively support audio input and output.
Build and maintain audio data pipelines, including preprocessing, filtering, segmentation, and alignment for training and evaluation.
Collaborate with data and infrastructure teams to scale audio training efficiently across distributed systems.
Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor.

Clarity in communication, an ability to explain complex technical concepts in writing.

we encourage you to apply even if you don't meet all preferred qualifications, but at least some:
A strong grasp of probability, statistics, and ML fundamentals.
You can look at experimental data and distinguish between real effects, noise, and bugs.
Experience with real-time inference, streaming architectures, or optimization for low latency.
Prior experience training or evaluating large-scale audio or multimodal models.
Publications, releases, or open-source projects related to speech, audio, voice, or similar areas.
or, equivalent industry research experience.

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.

Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.

Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Understanding of machine learning fundamentals, large-scale training, and distributed compute environments.
Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).
Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.

While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
We sponsor visas.

This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.